We performed a comparison between AWS Glue and Dataloader.io based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."
"The most valuable feature of AWS Glue is scalability."
"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"It's fairly straightforward as a product; it's not very complicated."
"The product has a valuable feature for data catalog."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"he product’s most valuable feature is ease of access."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"There should be more connectors for different databases."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."
"It is not clear how the partition discovery would have been affected by more data coming in."
"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."
"One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"We need help with large data migrations. It only works well for a few thousand records or less than a million records."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Dataloader.io is ranked 39th in Data Integration with 1 review. AWS Glue is rated 7.8, while Dataloader.io is rated 8.0. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of Dataloader.io writes "Provides an ease of access and an automated mapping feature". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Dataloader.io is most compared with Mule Anypoint Platform, DBamp and BMC Data Management for IMS and DB2 on zOS.
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